Abstract
Services provided by distributed generation (DG) to power generation and transmission systems have become an urgent necessity due to increase in load demand in recent years. These services include bridging the lack of central generation, increase the reliability of the network, reduce the inactive power in the system, and improve the margin of voltage for the network. On the other hand, the use of energy sources and diversification in the production of electric power. The voltage fluctuation on the end of consumer requires fast-paced strategic solutions and one of these solutions is the distributed generation. They contribute to the control of the voltage fluctuation to have a positive role in the work of the on-load tap changer (OLTC) which is sometimes unable to compensate for the lack of value of the voltages supplied from the source. The main contribution of this work is the introduction particle swarm optimization (PSO) algorithm to simulate a power system using the MATPOWER 6.0 as a tool box and one distributed generation to support the voltage profile. The results were positive as the system was simulated before the generator was entered into the network and the voltage measurement results were Low and after the input of the generator to the distribution network recorded a clear improvement in the voltage profile.
Original language | English |
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Title of host publication | Proceedings - 2017 IEEE 2nd International Conference on Automatic Control and Intelligent Systems, I2CACIS 2017 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 128-133 |
Number of pages | 6 |
ISBN (Electronic) | 9781538608463, 9781538608456 |
ISBN (Print) | 9781538608470 |
DOIs | |
Publication status | Published - 25 Dec 2017 |
Externally published | Yes |
Event | 2nd IEEE International Conference on Automatic Control and Intelligent Systems - Kota Kinabalu, Sabah, Malaysia Duration: 21 Oct 2017 → 21 Oct 2017 Conference number: 2 |
Conference
Conference | 2nd IEEE International Conference on Automatic Control and Intelligent Systems |
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Abbreviated title | I2CACIS 2017 |
Country/Territory | Malaysia |
City | Kota Kinabalu, Sabah |
Period | 21/10/17 → 21/10/17 |